This Week In Security: USB Boom! Acropalypse, And A Bitcoin Heist

We’ve covered a lot of sketchy USB devices over the years. And surely you know by now, if you find a USB drive, don’t plug it in to your computer. There’s more that could go wrong than just a malicious executable. We’ve covered creative and destructive ideas here on Hackaday, from creative firmware to capacitors that fry a machine when plugged in. But what happened to a handful of Ecuadorian journalists was quite the surprise. These drives went out with a bang.

That is, they literally exploded. The drives each reportedly contained a pellet of RDX, a popular explosive in use by militaries since the second World War. There have been five of these hyperactive USB devices located so far, and only one actually detonated. It seems that one only managed to trigger half of its RDX payload. Because of this, and the small overall size of a USB drive, the explosion was more comparable to a firecracker than a bomb. Continue reading “This Week In Security: USB Boom! Acropalypse, And A Bitcoin Heist”

PCIe For Hackers: Link Anatomy

Last time, we looked over diffpairs, their basics, routing rules and the notorious tolerances of PCIe when it comes to diffpairs. Now, let’s take a look at the exact signals that make PCIe tick, as well as give you an overview of which sockets you can get PCIe on.

I separate PCIe sockets into two categories – desktop sockets, which are the usual 1x, 16x, or perhaps x4 PCIe sockets we see on desktop motherboards — and mobile sockets: mPCIe and M.2. There are also sockets like ExpressCard that are still found on some older laptops, but they have definitely fallen out of relevance. On mobile, M.2 is the way forward when it comes to PCIe – if you’re interested, I’ve written a short series talking about everything M.2 before.

On these sockets, most signals will be optional and some signals will be socket-specific, but there are some signals required in any PCIe device. Of course, the first group of required signals is the PCIe diffpairs themselves.

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A freshly reballed BGA chip next to a clean PCB footprint

Working With BGAs: Soldering, Reballing, And Rework

In our previous article on Ball Grid Arrays (BGAs), we explored how to design circuit boards and how to route the signals coming out of a BGA package. But designing a board is one thing – soldering those chips onto the board is quite another. If you’ve got some experience with SMD soldering, you’ll find that any SOIC, TQFP or even QFN package can be soldered with a fine-tipped iron and a bit of practice. Not so for BGAs: we’ll need to bring out some specialized tools to solder them correctly. Today, we’ll explore how to get those chips on our board, and how to take them off again, without spending a fortune on equipment.

Tools of the Trade

For large-scale production, whether for BGA-based designs or any other kind of SMD work, reflow ovens are the tool of choice. While you can buy reflow ovens small enough to place in your workshop (or even build them yourself), they will always take up quite a bit of space. Reflow ovens are great for small-scale series production, but not so much for repairs or rework. Continue reading “Working With BGAs: Soldering, Reballing, And Rework”

Glove80 Keyboard Sure Fits Like One

If you’re what one might call unlucky, there comes a point in your life when you need to switch to a keyboard that’s more ergonomic than your average rectangle. A little prevention goes a long way, though, and there’s no time like the present to go ergo. Why not? You have everything to gain, from long-lasting comfort to satisfying key presses.

The only problem is that most severely ergonomic keyboards just aren’t portable. At this point, we all know how much I love my Kinesis Advantage, and how I wouldn’t be able to write the Keebin’ column or even a grocery list without it. I have two now, and I take the ugly, yellowed, sticker-bombed one with me out into the world. But as much as I love it, I would really dig a a slimmed-down version that’s just as comfortable, perhaps more so. Well, move over, Kinesis, because you’ve got stiff competition in the form of a flexible little two-piece called the Glove80.

You may recall that there was a Kickstarter for this keyboard about a year ago. I was pumped about it then, and I still am. Here’s why:

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Why LLaMa Is A Big Deal

You might have heard about LLaMa or maybe you haven’t. Either way, what’s the big deal? It’s just some AI thing. In a nutshell, LLaMa is important because it allows you to run large language models (LLM) like GPT-3 on commodity hardware. In many ways, this is a bit like Stable Diffusion, which similarly allowed normal folks to run image generation models on their own hardware with access to the underlying source code. We’ve discussed why Stable Diffusion matters and even talked about how it works.

LLaMa is a transformer language model from Facebook/Meta research, which is a collection of large models from 7 billion to 65 billion parameters trained on publicly available datasets. Their research paper showed that the 13B version outperformed GPT-3 in most benchmarks and LLama-65B is right up there with the best of them. LLaMa was unique as inference could be run on a single GPU due to some optimizations made to the transformer itself and the model being about 10x smaller. While Meta recommended that users have at least 10 GB of VRAM to run inference on the larger models, that’s a huge step from the 80 GB A100 cards that often run these models.

While this was an important step forward for the research community, it became a huge one for the hacker community when [Georgi Gerganov] rolled in. He released llama.cpp on GitHub, which runs the inference of a LLaMa model with 4-bit quantization. His code was focused on running LLaMa-7B on your Macbook, but we’ve seen versions running on smartphones and Raspberry Pis. There’s even a version written in Rust! A rough rule of thumb is anything with more than 4 GB of RAM can run LLaMa. Model weights are available through Meta with some rather strict terms, but they’ve been leaked online and can be found even in a pull request on the GitHub repo itself. Continue reading “Why LLaMa Is A Big Deal”

Hands-On: NVIDIA Jetson Orin Nano Developer Kit

NVIDIA’s Jetson line of single-board computers are doing something different in a vast sea of relatively similar Linux SBCs. Designed for edge computing applications, such as a robot that needs to perform high-speed computer vision while out in the field, they provide exceptional performance in a board that’s of comparable size and weight to other SBCs on the market. The only difference, as you might expect, is that they tend to cost a lot more: the current top of the line Jetson AGX Orin Developer Kit is $1999 USD

Luckily for hackers and makers like us, NVIDIA realized they needed an affordable gateway into their ecosystem, so they introduced the $99 Jetson Nano in 2019. The product proved so popular that just a year later the company refreshed it with a streamlined carrier board that dropped the cost of the kit down to an incredible $59. Looking to expand on that success even further, today NVIDIA announced a new upmarket entry into the Nano family that lies somewhere in the middle.

While the $499 price tag of the Jetson Orin Nano Developer Kit may be a bit steep for hobbyists, there’s no question that you get a lot for your money. Capable of performing 40 trillion operations per second (TOPS), NVIDIA estimates the Orin Nano is a staggering 80X as powerful as the previous Nano. It’s a level of performance that, admittedly, not every Hackaday reader needs on their workbench. But the allure of a palm-sized supercomputer is very real, and anyone with an interest in experimenting with machine learning would do well to weigh (literally, and figuratively) the Orin Nano against a desktop computer with a comparable NVIDIA graphics card.

We were provided with one of the very first Jetson Orin Nano Developer Kits before their official unveiling during NVIDIA GTC (GPU Technology Conference), and I’ve spent the last few days getting up close and personal with the hardware and software. After coming to terms with the fact that this tiny board is considerably more powerful than the computer I’m currently writing this on, I’m left excited to see what the community can accomplish with the incredible performance offered by this pint-sized system.

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Vinyl Sales Ran Circles Around CDs In 2022

How do you take your music these days? For those in Camp Tangible, it seems our ranks are certainly growing, and in the analog direction. For the first time since 1987, vinyl record sales have outperformed CD sales in the US, according to a new report. The CD, which saved us all from the cassette, was a digital revolution in music. But for some, the love was lost somewhere among the ones and zeroes.

Those who prefer pure analog troughs of sound cut into wax have never given up on vinyl, and the real ones probably gobbled up a bunch of it in the 90s when everybody was CD-crazy. But mind you these aren’t used vinyl sales we’re talking about, which means that enough new vinyl has to have been readily available for purchase for quite some time now. Although it doesn’t really seem like that long, new vinyl’s been back for almost 20 years — and according to the report, 2022 was the 16th consecutive year of growth for record sales.

So Why Vinyl?

Nostalgia ain’t what it used to be, but there was a time in my 1980s childhood when vinyl was all this scribe had to listen to. I have historically been a bit slow to adopt new music formats — I didn’t have a CD player until 1998, and it was given to me for my birthday. I was excited to get the thing, mind you, especially since it had 10 seconds of anti-skip protection (which of course was a huge concern with portable CD players).

But CDs are way different from records. Sure, they’re both round, but the similarities sort of end there. For one thing, the artwork is disappointingly small compared to vinyl. And the whole gatefold album cover thing isn’t really possible with a CD, unless you forego the jewel case and release it in a chintzy little cardboard jacket. But then people will have this one disc that’s four times thinner than the rest and it throws everything off in the collection.

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